776 resultados para futures price volatility
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This paper presents gamma stochastic volatility models and investigates its distributional and time series properties. The parameter estimators obtained by the method of moments are shown analytically to be consistent and asymptotically normal. The simulation results indicate that the estimators behave well. The insample analysis shows that return models with gamma autoregressive stochastic volatility processes capture the leptokurtic nature of return distributions and the slowly decaying autocorrelation functions of squared stock index returns for the USA and UK. In comparison with GARCH and EGARCH models, the gamma autoregressive model picks up the persistence in volatility for the US and UK index returns but not the volatility persistence for the Canadian and Japanese index returns. The out-of-sample analysis indicates that the gamma autoregressive model has a superior volatility forecasting performance compared to GARCH and EGARCH models.
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The present study is on the nature, problems and prospects of the handloom industry in Kerala. The problems of the industry are mostly in the nature of low earnings of the workers, underutilisation of the existing capacity and low profit in its various sectors. The majority of the handloom co-operative societies are either dormant or facing liquidation. The income and employment of weavers are so pitiably low that they are living in utter poverty and starvation. Frequent price fluctuations of yarns, dyes and chemicals increase the cost of production and reduce the profitability. Consequently handloom fabrics are not able to compete with mill cloths and powerloom products. Accumulating the unsold stocks in the godowns of co-operative societies and with master weavers has become the practice of the day. Spinning mills in Kerala are producing only lower counts of yarns. S, handloom industry has to depend on textile mills in Tamil Nadu for higher counts of yarn. They create artificial scarcity and increase the prices exflorbitantly. Wage rates prevailing in Kerala are higher than those in Tamil Hadu. So rich master weavers are migrating to Tamil.Nadu and exporting the fabrics. under the label 'Kera1a Handlooms'. Governmental efforts to tackle the crisis by way of rebates and subsidies are found to be futile.
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The classical methods of analysing time series by Box-Jenkins approach assume that the observed series uctuates around changing levels with constant variance. That is, the time series is assumed to be of homoscedastic nature. However, the nancial time series exhibits the presence of heteroscedasticity in the sense that, it possesses non-constant conditional variance given the past observations. So, the analysis of nancial time series, requires the modelling of such variances, which may depend on some time dependent factors or its own past values. This lead to introduction of several classes of models to study the behaviour of nancial time series. See Taylor (1986), Tsay (2005), Rachev et al. (2007). The class of models, used to describe the evolution of conditional variances is referred to as stochastic volatility modelsThe stochastic models available to analyse the conditional variances, are based on either normal or log-normal distributions. One of the objectives of the present study is to explore the possibility of employing some non-Gaussian distributions to model the volatility sequences and then study the behaviour of the resulting return series. This lead us to work on the related problem of statistical inference, which is the main contribution of the thesis
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In China, the history of the establishment of the private housing market is pretty short. Actually in less then two decades, the market has grown from almost the scratch to playing an important role in the economy. A great achievement! But many problems also exist. They need to be properly addressed and solved. Price problem---simply put, housing price is too high--- is one of them, and this paper is focused on it. Three basic questions are posed, i.e. (1) how to judge the housing affordability? (2) why the housing price is so high? (3) how to solve the housing price problem. The paper pays particular attention to answering the second question. Except the numerous news reports and surveys show that most of the ordinary city dwellers complained about the high housing price, the mathematical means, the four ratios, are applied to judge the housing affordability in Shanghai and Shenzhen. The results are very clear that the price problem is severe. So why? Something is wrong with the price mechanism. This research shows that mainly these five factors contribute to the price problem: the housing reform, the housing development model, the unbalanced housing market, the housing project financing and the poor governmental management. Finally the paper puts forward five suggestions to solve the housing price problem in first-hand private Chinese housing market. They include: the establishment of real estate information system, the creation of specific price management department, the government price regulation, the property tax and the legalization of "cushion money".
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In face of the global food crisis of 2007-2008, severe concerns arose about how developing countries would be affected by the extreme short-term fluctuations in international commodity prices. We examine the effects of the crisis on Bolivia, one of the poorest countries of the Americas. We focus on the effectiveness of the domestic policy interventions in preventing spillovers of the development of international food prices to domestic markets. Using a cointegration model, we study price interdependencies of wheat flour, sunflower oil and poultry. The analysis suggests that the policy measures taken had little effect on food security during the food crisis. Throughout the entire period, perfect price transmission between the Bolivian poultry and sunflower oil markets and the respective international reference markets existed. Bolivian prices were determined by international prices and the policy interventions in the markets of these two commodities were not found to have had an effect. The government's large-scale wheat flour imports did not shield Bolivian consumers from the shocks of international prices.
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In Sri Lanka policy responses have direct impacts on rural dwellers. Over 80% of Sri Lanka’s population live in rural areas and 90% of them represent low income dwellers. Their production system may be hampered by fragmented landholding, poor economics of scale, low investment levels resulting from poor financial services as well as inappropriate or limited technology. They are vulnerable to price hikes of basic foods and food security issues due to fragmented landholding and poor financial services. Policy measures to reduce the transmission of higher international prices in domestic markets exist to protect the food security of the vulnerable population. This paper will discuss the food policy and strategies implemented by the government and outside to the above facts this paper also describes the effectiveness of the policies forwarded by the government. The objective of this study is to analyse the impact of policy responses to the food price crisis and rural food security in Sri Lanka. Outside of the above facts this study also treats the impact of policies and decisions on the nutritional condition of rural dwellers. Furthermore this study is to analyse the fluctuation of buying power with the price hikes and the relation of above facts with issues like malnutrition. This paper discusses why policy makers should pay greater attention to rural dwellers and describes the multiple pathways through which food price increases have on rural people. It also provides evidence of the impact of this crisis in particular, through hidden hunger, and discusses how current policy responses should adjust and improve to protect the rural dwellers in the short and long term.
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We propose a nonparametric method for estimating derivative financial asset pricing formulae using learning networks. To demonstrate feasibility, we first simulate Black-Scholes option prices and show that learning networks can recover the Black-Scholes formula from a two-year training set of daily options prices, and that the resulting network formula can be used successfully to both price and delta-hedge options out-of-sample. For comparison, we estimate models using four popular methods: ordinary least squares, radial basis functions, multilayer perceptrons, and projection pursuit. To illustrate practical relevance, we also apply our approach to S&P 500 futures options data from 1987 to 1991.
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Exercises and solutions in PDF
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Exam questions and solutions in LaTex
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Exam questions and solutions in PDF
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Exercises and solutions in LaTex
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discussion of digital futures and how it might impact on business practice
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The Winchester Centre for Global Futures in Art Design and Media highlights historical, contemporary and future roles for art, design and media within globalization. Its members build sustained collaborations with international partners in public service, the creative industries and civil society. Critically concerned with art and design practices of making, thinking and representation, the Winchester Centre actively engages in education and enterprise, exploring the contribution of media, materials and technologies to the improvement of human societies globally. Led by professors Jonathan Harris, Sean Cubitt, and Ryan Bishop, the Winchester Centre will make a decisive contribution to the work of the School and the University in future years. The Centre's inaugural professors would like to invite you now to suggest future research themes and activities. In the coming weeks details regarding the programme and prospective membership of the Winchester Centre will be made available.